Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models

Raíssa Silva; Cédric Riedel; Maïlis Amico; Jerome Reboul; Benoit Guibert; Camelia Sennaoui; Chloé Bessière; Florence Ruffle; Nicolas Gilbert; Anthony Boureux; Thérèse Commes

doi:10.1038/s41598-025-23468-z

Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models

R Raíssa Silva C Cédric Riedel M Maïlis Amico J Jerome Reboul B Benoit Guibert C Camelia Sennaoui C Chloé Bessière F Florence Ruffle N Nicolas Gilbert A Anthony Boureux T Thérèse Commes

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published November 13, 2025

DOI 10.1038/s41598-025-23468-z

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (11)

R

Raíssa Silva

C

Cédric Riedel

M

Maïlis Amico

J

Jerome Reboul

B

Benoit Guibert

C

Camelia Sennaoui

C

Chloé Bessière

F

Florence Ruffle

N

Nicolas Gilbert

A

Anthony Boureux

T

Thérèse Commes

Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models

Article Details

Journal Info

Authors (11)

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